OpenCV图片与视频的人脸检测

人脸检测代码。 （——最近经常用人脸检测 ，图片 or 视频 来实验。。。。so， 整理贴代码如下。 代码根据 opencv官网论坛改写）

// face_recognization.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"

#include "cv.h"
#include "highgui.h"

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include <time.h>
#include <ctype.h>

#ifdef _EiC
#define WIN32
#endif

static CvMemStorage* storage = 0;
static CvHaarClassifierCascade* cascade = 0;

void detect_and_draw( IplImage* image );

const char* cascade_name =
"haarcascade_frontalface_alt2.xml";
/*    "haarcascade_profileface.xml";*/

int main( int argc, char** argv )
{
	CvCapture* capture = 0;
	IplImage *frame, *frame_copy = 0;
	int optlen = strlen("--cascade=");
	const char* input_name;

	cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );

	if( !cascade )
	{
		fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
		fprintf( stderr,
			"Usage: facedetect --cascade=\"<cascade_path>\" [filename|camera_index]\n" );
		return -1;
	}
	storage = cvCreateMemStorage(0);

	cvNamedWindow( "result", 1 );


//检测图片
	IplImage* image = cvLoadImage("c:\\glass.jpg", 1 );
	if( image )
	{
		detect_and_draw( image );
		cvWaitKey(-1);
		cvReleaseImage( &image );
	}
	else
		printf("error\n");

/*

//检测视频
	capture = cvCaptureFromAVI("c:\\me.avi"); 
	
	if( capture )
	{
		for(;;)
		{
			if( !cvGrabFrame( capture ))
				break;
			frame = cvRetrieveFrame( capture );
			if( !frame )
				break;
			if( !frame_copy )
				frame_copy = cvCreateImage( cvSize(frame->width,frame->height),
				IPL_DEPTH_8U, frame->nChannels );

			if( frame->origin == IPL_ORIGIN_TL )
				cvCopy( frame, frame_copy, 0 );
			else
				cvFlip( frame, frame_copy, 0 );

			IplImage *equ = cvCreateImage(cvGetSize(frame_copy),8, 1);
			IplImage *gray = cvCreateImage(cvGetSize(frame_copy), 8, 1);
			cvCvtColor(frame_copy, gray, CV_BGR2GRAY);
			cvEqualizeHist(gray, equ);

			//cvNamedWindow("yuantu");
			//cvNamedWindow("equ");
			//cvShowImage("yuantu",gray);
			//cvShowImage("equ",equ);
			
			detect_and_draw( frame_copy );

			if( cvWaitKey( 10 ) >= 0 )
				break;
			//cvReleaseImage(&gray);
			//cvReleaseImage(&equ);
		}

		

		cvReleaseImage( &frame_copy );
		cvReleaseCapture( &capture );
	}
*/
	cvWaitKey(-1); //检测图片的时候，等待显示
	cvDestroyWindow("result");

	return 0;
}

void detect_and_draw( IplImage* img )
{
	static CvScalar colors[] = 
	{
		{{0,0,255}},
		{{0,128,255}},
		{{0,255,255}},
		{{0,255,0}},
		{{255,128,0}},
		{{255,255,0}},
		{{255,0,0}},
		{{255,0,255}}
	};

	double scale = 1.3;
	IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 );
	IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),
		cvRound (img->height/scale)),
		8, 1 );
	int i;

	cvCvtColor( img, gray, CV_BGR2GRAY );
	cvResize( gray, small_img, CV_INTER_LINEAR );
	cvEqualizeHist( small_img, small_img );
	cvClearMemStorage( storage );

	if( cascade )
	{
		double t = (double)cvGetTickCount();
		CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,
			1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,
			cvSize(30, 30) );
		
		printf("face's total is %d\n",faces->total);

		t = (double)cvGetTickCount() - t;
		printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) );
		for( i = 0; i < (faces ? faces->total : 0); i++ )
		{
			CvRect* r = (CvRect*)cvGetSeqElem( faces, i );
			//用矩形框框出
			cvRectangle(img, cvPoint(r->x * scale, r->y * scale), cvPoint( (r->x + r->width) * scale, (r->y + r->height)  * scale), colors[i%8], 3, 8, 0);
			/*
			//用原型框出
			CvPoint center;
			int radius;
			center.x = cvRound((r->x + r->width*0.5)*scale);
			center.y = cvRound((r->y + r->height*0.5)*scale);
			radius = cvRound((r->width + r->height)*0.25*scale);
			cvCircle( img, center, radius, colors[i%8], 3, 8, 0 );
			*/
		}
	}

	cvShowImage( "result", img );
	cvReleaseImage( &gray );
	cvReleaseImage( &small_img );
}